Dataset Versions

v7

2023-09-14 8:54pm

Generated on Sep 14, 2023

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 88%
381Images
Valid Set 8%
34Images
Test Set 5%
20Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 15-87% Horizontal Region, 0-100% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Hue: Between -25° and +25°
Saturation: Between -39% and +39%
Brightness: Between -9% and +9%
Bounding Box: Flip: Horizontal
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Exposure: Between -25% and +25%

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